Article
A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program.
PloS one - 1 Jan 2023
Lorman Vitaly, Razzaghi Hanieh, Song Xing, Morse Keith, Utidjian Levon, Allen Andrea J, Rao Suchitra, Rogerson Colin, Bennett Tellen D, Morizono Hiroki, Eckrich Daniel, Jhaveri Ravi, Huang Yungui, Ranade Daksha, Pajor Nathan, Lee Grace M, Forrest Christopher B, Bailey L Charles
Abstract excerpt
As clinical understanding of pediatric Post-Acute Sequelae of SARS CoV-2 (PASC) develops, and hence the clinical definition evolves, it is desirable to have a method to reliably identify patients who are likely to have post-acute sequelae of SARS CoV-2 (PASC) in health systems data. In this study, we developed and validated a machine learning algorithm to classify which patients have PASC (distinguishing between...
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